2017
DOI: 10.1002/dta.2183
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Identification and characterization of novel long‐term metabolites of oxymesterone and mesterolone in human urine by application of selected reaction monitoring GC‐CI‐MS/MS

Abstract: The search for metabolites with longer detection times remains an important task in, for example, toxicology and doping control. The impact of these long-term metabolites is highlighted by the high number of positive cases after reanalysis of samples that were stored for several years, e.g. samples of previous Olympic Games. A substantial number of previously alleged negative samples have now been declared positive due to the detection of various long-term steroid metabolites the existence of which was unknown… Show more

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Cited by 31 publications
(26 citation statements)
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“…Traditionally, mesterolone abuse in routine doping control is detected by GC–MS screening of glucuronidated mesterolone metabolites after hydrolysis with β‐glucuronidase ( E. coli ) . Previous work pointed out that by using this approach G1, mestM20 and mestM22 had the longest detection times . In the excretion studies in this work, GC–MS and LC−TQMS analysis of non‐hydrolyzed sulfated metabolites resulted in longer detection times (factor 2–3.5) in comparison with glucuronidated metabolites on GC–MS (Figure ).…”
Section: Resultsmentioning
confidence: 72%
See 3 more Smart Citations
“…Traditionally, mesterolone abuse in routine doping control is detected by GC–MS screening of glucuronidated mesterolone metabolites after hydrolysis with β‐glucuronidase ( E. coli ) . Previous work pointed out that by using this approach G1, mestM20 and mestM22 had the longest detection times . In the excretion studies in this work, GC–MS and LC−TQMS analysis of non‐hydrolyzed sulfated metabolites resulted in longer detection times (factor 2–3.5) in comparison with glucuronidated metabolites on GC–MS (Figure ).…”
Section: Resultsmentioning
confidence: 72%
“…30,44 Previous work pointed out that by using this approach G1, mestM20 and mestM22 had the longest detection times. 13 In the excretion studies in this work, GC-MS and LC−TQMS analysis of non-hydrolyzed sulfated metabolites resulted in longer detection times (factor 2-3.5) in comparison with glucuronidated metabolites on GC-MS (Figure 3 need to cover all low to medium molecular weight drugs of abuse that need to be detected according to the World Anti-Doping Agency regulations. 47 However, analysis of sulfated steroids on LC-MS requires a specific sample preparation that is not compatible with the wide range of doping substances that need to be detected with the LC-MS screening method.…”
Section: Aas Abuse Detection Windowsmentioning
confidence: 85%
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“…Similarly, the identification of new long‐term metabolites concerning oxymesterone and mesterolone, namely 18‐nor‐17β‐hydroxymethyl‐17α‐methyl‐4‐hydroxyandrost‐4,13‐dien‐3‐one and 1α‐methyl‐5α‐androstane‐3,6,16‐triol‐17‐one, respectively, enabled a significant extension of the drugs' detection windows. Metabolites were predicted in silico, and by means of highly sensitive GC–MS/MS analyses, their existence was eventually proven employing chemical ionization (CI) and MS/MS characterization …”
Section: Anabolic Agentsmentioning
confidence: 99%